Zhen Zhang

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Citations	1493	1264
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i10-index	19	18

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Professor Javen Qinfeng ShiDirector for Causal AI Group, University of AdelaideVerified email at adelaide.edu.au
Wee Sun LeeProfessor, Department of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Anton van den HengelDirector of the Centre for Augmented Reasoning at AIML.Verified email at adelaide.edu.au
Dong GongUniversity of New South Wales (UNSW)Verified email at unsw.edu.au
Yanning ZhangNorthwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Chunhua ShenZhejiang UniversityVerified email at zju.edu.cn
Anton MilanAmazonVerified email at amazon.com
Ian D ReidMohammed Bin Zayed University of Artificial Intelligence and University of AdelaideVerified email at adelaide.edu.au
Anthony DickComputer Science, University of AdelaideVerified email at adelaide.edu.au
Hamid RezatofighiAssistant Professor, Monash University, Melbourne, AustraliaVerified email at monash.edu
Yuhang LiuThe University of AdelaideVerified email at adelaide.edu.au
Gim Hee LeeAssociate Professor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Julian McAuleyProfessor, UC San DiegoVerified email at eng.ucsd.edu
Wei Weinorthwestern polytechnic universityVerified email at nwpu.edu.cn
Rui YaoPh.DVerified email at cumt.edu.cn
Mingming GongUniversity of Melbourne & Mohamed bin Zayed University of Artificial IntelligenceVerified email at unimelb.edu.au
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
Fan WuUniversity of IllinoisVerified email at ILLINOIS.EDU
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyVerified email at sydney.edu.au
Fuyuan HuProfessor of Suzhou University of Science and TechnologyVerified email at mail.usts.edu.cn

Zhen Zhang

The University of Adelaide

Verified email at adelaide.edu.au - Homepage

Graph Neural Networks Probabilistic Graphical Models Causation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Joint probabilistic data association revisited SH Rezatofighi, A Milan, Z Zhang, Q Shi, A Dick, I Reid Proceedings of the IEEE international conference on computer vision, 3047-3055, 2015	431	2015
Convolutional sequence to sequence model for human dynamics C Li, Z Zhang, WS Lee, GH Lee Proceedings of the IEEE conference on computer vision and pattern …, 2018	362	2018
Learning deep gradient descent optimization for image deconvolution D Gong, Z Zhang, Q Shi, A van den Hengel, C Shen, Y Zhang IEEE transactions on neural networks and learning systems 31 (12), 5468-5482, 2020	123*	2020
Deep Graphical Feature Learning for the Feature Matching Problem Z Zhang, WS Lee IEEE International Conference on Computer Vision, 2019	82	2019
Pairwise Matching through Max-Weight Bipartite Belief Propagation Z Zhang, Q Shi, J McAuley, W Wei, Y Zhang, A Van Den Hengel IEEE Conference on Computer Vision and Pattern Recognition, 2016	64	2016
Learning graph structure for multi-label image classification via clique generation M Tan, Q Shi, A van den Hengel, C Shen, J Gao, F Hu, Z Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	63	2015
Factor graph neural networks Z Zhang, F Wu, WS Lee Advances in Neural Information Processing Systems 33, 8577-8587, 2020	56	2020
Real-time correlation filter tracking by efficient dense belief propagation with structure preserving R Yao, S Xia, Z Zhang, Y Zhang IEEE Transactions on Multimedia 19 (4), 772-784, 2016	45	2016
Joint Probabilistic Matching Using m-Best Solutions SH Rezatofighi, A Milan, Z Zhang, Q Shi, A Dick, I Reid IEEE Conference on Computer Vision and Pattern Recognition, 2016	39	2016
NTIRE 2022 challenge on high dynamic range imaging: Methods and results E Pérez-Pellitero, S Catley-Chandar, R Shaw, A Leonardis, R Timofte, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	36	2022
A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs Y Hu, Z Zhang, Y Yao, X Huyan, X Zhou, WS Lee Engineering Applications of Artificial Intelligence 97, 104061, 2021	29	2021
Truncated matrix power iteration for differentiable dag learning Z Zhang, I Ng, D Gong, Y Liu, E Abbasnejad, M Gong, K Zhang, JQ Shi Advances in Neural Information Processing Systems 35, 18390-18402, 2022	22	2022
Rapid non-destructive method to phenotype stomatal traits P Pathoumthong, Z Zhang, SJ Roy, A El Habti Plant Methods 19 (1), 36, 2023	20	2023
Identifying weight-variant latent causal models Y Liu, Z Zhang, D Gong, M Gong, B Huang, A Hengel, K Zhang, JQ Shi arXiv preprint arXiv:2208.14153, 2022	19	2022
A lightweight network for high dynamic range imaging Q Yan, S Zhang, W Chen, Y Liu, Z Zhang, Y Zhang, JQ Shi, D Gong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	16	2022
Variable kernel density estimation based robust regression and its applications Z Zhang, Y Zhang Neurocomputing 134, 30-37, 2014	11	2014
SharpFormer: Learning local feature preserving global representations for image deblurring Q Yan, D Gong, P Wang, Z Zhang, Y Zhang, JQ Shi IEEE Transactions on Image Processing 32, 2857-2866, 2023	10	2023
Memory-augmented dynamic neural relational inference D Gong, FZ Zhang, JQ Shi, A Van Den Hengel Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	10	2021
An adaptive markov random field for structured compressive sensing S Suwanwimolkul, L Zhang, D Gong, Z Zhang, C Chen, DC Ranasinghe, ... IEEE Transactions on Image Processing 28 (3), 1556-1570, 2018	10	2018
Visual relationship detection with low rank non-negative tensor decomposition MH Dupty, Z Zhang, WS Lee Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10737 …, 2020	8	2020

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